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Title: Bimodulus-plastic model for pre-failure analysis of fiber reinforced polymer composites
Authors: Boon, Yi Di
Joshi, Sunil Chandrakant
Ong, Lin Seng
Keywords: Finite Element Analysis
Damage Mechanism
DRNTU::Engineering::Mechanical engineering
Issue Date: 2019
Source: Boon, Y. D., Joshi, S. C., & Ong, L. S. (2019). Bimodulus-plastic model for pre-failure analysis of fiber reinforced polymer composites. Mechanics of Materials, 134, 18-29. doi:10.1016/j.mechmat.2019.04.003
Journal: Mechanics of Materials
Series/Report no.: Mechanics of Materials
Abstract: Fiber-reinforced polymer composites, such as carbon-epoxy composites, are found to exhibit non-linear behavior when mechanically loaded in the transverse and shear directions. Experimental studies suggest that the non-linear behavior is due to two mechanisms: (i) damage in the matrix in the form of cracks and (ii) yielding of the matrix followed by plastic deformation. In this study, a bimodulus-plastic model that includes these two different damage mechanisms to simulate the non-linearity prior to failure is proposed. The pre-failure, onset of failure and post-failure analysis with the proposed model is discussed in detail with emphasis put on the transverse and shear components. The process of determining the material properties and parameters required for defining the new model is discussed and demonstrated. The newly developed model is then validated against the experimental results from three-point flexure tests on the composites. The correlation was good showing that the proposed model was able to simulate accurately the non-linear behavior of the composites and thus predict the failure. Finally, the model is applied to a case study on the failure of a composite riser under internal pressure loads.
ISSN: 0167-6636
DOI: 213063
Rights: © 2019 Elsevier. All rights reserved. This paper was published in Mechanics of Materials and is made available with permission of Elsevier.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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